AI system architecture
Design model, data, tool, workflow, and human-review boundaries around a real operating need.
AI ARCHITECTURE & DEVELOPMENT
Build useful systems.
Understand how they work.
Kingston Software Factory designs practical AI-enabled software, modernizes legacy applications, and connects data, tools, and workflows into systems people can rely on.
SYSTEM VIEW01
PeopleAI modelsBusiness logicData & tools
Architecture before ornament. Working systems before demonstrations.
WHAT I BUILD
Technical judgement across the whole system.
Applied development
Turn promising concepts into maintainable applications, internal tools, automations, and decision systems.
Legacy modernization
Understand inherited code, separate active logic from historical debris, fix defects, and create a controlled path forward.
Integration & workflow
Connect existing software, APIs, documents, databases, and human processes without losing operational context.
HOW I WORK
Start with the structure of the problem.
Good AI development is not a prompt pasted onto an application. It requires clear boundaries, traceable decisions, useful interfaces, appropriate controls, and a sober understanding of where automation helps—or creates risk.
- 01Map the system
Understand users, information, constraints, and failure modes.
- 02Build the smallest useful version
Test the operating idea before multiplying complexity.
- 03Make it maintainable
Document decisions, preserve auditability, and plan for change.
A GOOD FIT
Projects where the software has to think with the business—not merely sit beside it.
- AI-assisted professional workflows
- Planning and decision-support tools
- Complex legacy applications
- Multi-system data and tool integration
- Prototypes that need a production path
START A CONVERSATION
Have a difficult system to understand—or a useful one to build?
Describe the operating problem, what already exists, and what a better outcome would make possible.
frank@kingstonsf.com →